If you run an agency or a B2B business, you know that finding qualified leads takes hours of manual work every single day. I had this exact problem, so I built an automated system to solve it.

I engineered an intent discovery pipeline using n8n and the DeepSeek API. It runs on a self-hosted VPS, pulls real-time data from platforms like Reddit and GitHub, scores the intent of every post using AI, and pings my phone with only the high-quality leads.

It completely eliminated manual prospecting for my own business.

I’m sharing the open-source repo with anyone who wants to see the code—just shoot me a DM.

But if you want a custom, fully integrated version of this built for your sales team without having to touch a single line of code, this is exactly what I do. I build robust n8n automations and AI agents that save hours of manual operations.

The trips ran daily. The invoicing ran monthly. Nobody calls that a problem, it is just how billing works.

At The Joshua Agency it took 30+ days to get from a completed trip to a cleared invoice. They run wheelchair, stretcher and sedan trips as a non-emergency medical transport operator across Alabama and five more states, so there is a lot of finished work sitting in that queue at any moment.

Six Make.com scenarios later, it takes 7.

What runs, every cycle:

Capture. Every completed trip as it closes. Nobody re-keys anything.

Check. Rates and trip detail before anything goes out. A wrong line item is not a small delay, it is a whole cycle lost.

Build. The invoice packet with the full breakdown attached.

Send. To the right payer, then track it until it clears.

Same trips, same team, same drivers. The waiting is what left.

Two things I would do the same way again:

Fix the checking step before the sending step. Everyone assumes the delay is getting invoices out the door. It usually is not. It is the back and forth afterwards, and that is caused by what was wrong when it went. Validate before you send and most of the chasing disappears on its own.

Measure the cycle, not the tasks. "Invoicing takes us two days" is the wrong number. The one that matters is days from finished work to cleared invoice, because that is the one the business actually feels. Most operators have never measured it, which is why it never gets fixed.

Figures in the image are illustrative and there is no passenger data on it, for obvious reasons.

If you run trips, jobs or site visits: do you know your number? Days from finished work to cleared invoice. Reply with it and I will tell you which step is eating it.